Irene G Klugkist
Biographic Data
| ID | 1706898 |
|---|---|
| NAME | Irene G Klugkist |
| GIVEN NAMES | Irene G |
| FAMILY NAME | Klugkist |
| SIGNATURE | KLUGKIST I G |
| AFFILIATIONS | Utrecht University |
| ORCID | 0000-0001-9561-3691 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Exposure and response prevention versus risperidone for the treatment of tic disorders: A randomized controlled trial
https://onderzoekmetmensen.nl/nl/node/23410/pdf, identifier NL-OMON23410
Determining fit: The role of matching procedures in prospective higher education students’ enrolment behaviour
In the Netherlands, the implementation of mandatory procedures in which prospective students do a final check on their initial higher education program choice (so-called matching procedures), were introduced to improve student-program fit. We argue that prospective students who lack feelings of fit with the program during these matching procedures are less likely to finalise their enrolment. Using data of 13 programs at four Dutch universities, t…
Teachers’ interpersonal relationships and instructional expertise: How are they related
Discussion points for Bayesian inference
Expert Elicitation of Study Weights for Bayesian Analysis and Meta-Analysis
Meta-analysis and Bayesian informative prior distributions are used for updating knowledge about treatment effects with new data. When the available data come from slightly different study populations, or from slightly different trials as compared with the new data, the researcher has to specify study weights to control the influence of the historical data on the current data. This research evaluates whether an internet Delphi technique is useful…
Augmenting Data With Published Results in Bayesian Linear Regression
In most research, linear regression analyses are performed without taking into account published results (i.e., reported summary statistics) of similar previous studies. Although the prior density in Bayesian linear regression could accommodate such prior knowledge, formal models for doing so are absent from the literature. The goal of this article is therefore to develop a Bayesian model in which a linear regression analysis on current data is a…
The role of local and distal landmarks in the development of object location memory
To locate objects in the environment, animals and humans use visual and nonvisual information. We were interested in children's ability to relocate an object on the basis of self-motion and local and distal color cues for orientation. Five- to 9-year-old children were tested on an object location memory task in which, between presentation and test, the availability of local and distal cues was manipulated. Additionally, participants' viewpoint co…
The role of local and distal landmarks in the development of object location memory
To locate objects in the environment, animals and humans use visual and nonvisual information. We were interested in children's ability to relocate an object on the basis of self-motion and local and distal color cues for orientation. Five- to 9-year-old children were tested on an object location memory task in which, between presentation and test, the availability of local and distal cues was manipulated. Additionally, participants' viewpoint co…
Augmenting Data With Published Results in Bayesian Linear Regression
In most research, linear regression analyses are performed without taking into account published results (i.e., reported summary statistics) of similar previous studies. Although the prior density in Bayesian linear regression could accommodate such prior knowledge, formal models for doing so are absent from the literature. The goal of this article is therefore to develop a Bayesian model in which a linear regression analysis on current data is a…
Expert Elicitation of Study Weights for Bayesian Analysis and Meta-Analysis
Meta-analysis and Bayesian informative prior distributions are used for updating knowledge about treatment effects with new data. When the available data come from slightly different study populations, or from slightly different trials as compared with the new data, the researcher has to specify study weights to control the influence of the historical data on the current data. This research evaluates whether an internet Delphi technique is useful…
Teachers’ interpersonal relationships and instructional expertise: How are they related
Discussion points for Bayesian inference
Determining fit: The role of matching procedures in prospective higher education students’ enrolment behaviour
In the Netherlands, the implementation of mandatory procedures in which prospective students do a final check on their initial higher education program choice (so-called matching procedures), were introduced to improve student-program fit. We argue that prospective students who lack feelings of fit with the program during these matching procedures are less likely to finalise their enrolment. Using data of 13 programs at four Dutch universities, t…
Exposure and response prevention versus risperidone for the treatment of tic disorders: A randomized controlled trial
https://onderzoekmetmensen.nl/nl/node/23410/pdf, identifier NL-OMON23410
Computer Science (5 works) · Psychology (5 works) · Artificial Intelligence (3 works) · Bayesian probability (3 works) · Medicine (3 works) · Bayesian inference (2 works) · Bayesian statistics (2 works) · Data science (2 works) · Mathematics (2 works) · Mathematics education (2 works)